Data Governance Maturity Assessment
Data & AI
Motivation
Implementing a data governance framework ensures that your organization's data is accurate, consistent, secure, and used responsibly. It supports compliance with regulatory requirements, reduces risks associated with data breaches, and enhances decision-making by effective and efficient use of information. A robust data governance framework also fosters a culture of accountability and transparency, enabling better collaboration and trust across the organization.
What we bring
With over 20 years of experience in software and data architectures for many of the world’s largest enterprises, PRODYNA is well-equipped to help you design and establish a comprehensive data governance framework. Our expertise in the area of Data Governance includes:
- Data Governance Standards: Introduction of processes and tooling that helps you accomplish the goal quickly
- Data Quality Management: Implementing processes to monitor and improve data quality.
- Metadata Management: Ensuring that data is well-documented and easily accessible.
- Data Security and Privacy: Protecting sensitive data and ensuring compliance with data protection regulations.
- Data Governance Bodies: Establishing roles and responsibilities for data management.
- Change Management: Facilitating organizational change to support data governance initiatives.
What you need
To successfully conduct a data governance assessment, your organization will need to provide:
- Current Data Landscape: Information on existing data assets, processes, and systems.
- Actual organizational roles and structure: Details of current organizational structure and relevant roles.
- Stakeholder Engagement: Involvement of key stakeholders across the organization.
What you get
The goal of our data governance maturity assessment is to provide a comprehensive overview of the current state and the specific needs of your organization regarding data governance. Based on this, we define a tailored project and data scope, identify key focus areas, and develop a consistent approach for implementing a sustainable data governance framework. PRODYNA will guide you through the following topics:
Before Workshop/ Interview
Data Challenge and Data Strategy:
- Conduct data strategy and relevant data challenge.
- Derive the initial data scope from the data challenge.
- Describe the most important data governance objects for measuring the success of the project.
Before Workshop/ Survey
Governance Maturity Model:
- Basic self-assessment of the governance maturity level for different employees in the organization.
- Direct governance scoring as a baseline for the upcoming workshop.
- Initial basis for refining the data governance objectives.
Workshop Step 1
– Developing Data Scope & Data Landscape
Domain- and System landscape:
- Validate the initial data scopes.
- Define the domains within the organization.
- Map the most relevant systems within the domains in relation to the data scope.
- Identify the most important data types within the systems.
- Develop a consolidated domain and system map as a basis for the detailed assessment of the governance maturity level.
Workshop Step 2
– Evaluating Governance Maturity
Data Governance Maturity Evaluation:
- Introduction to the PRODYNA Data Governance Framework.
- Assessment of governance maturity using the dimensions of the framework and based on the developed domain and system map.
- Detailed breakdown and discussion of the results.
- Comparison between self-assessment and detailed analysis.
- Conducting a root cause analysis to identify the causes of identified problems.
Workshop Step 4
– Derive Governance Objectives & Key Tasks
Governance Objectives & Key Tasks:
- Developing an initial target vision for adopting the framework into the organization.
- Final definition of governance objectives as top priorities for the subsequent project.
- Prioritization of key tasks derived during the workshop.
After Workshop
Project planning:
- Initial adaptation of the PRODYNA Data Governance Framework to the identified governance objectives.
- Planning of the approach and priorities for the governance adoption phase.
Quick facts
- Effort: 1-3 days depending on the scope
- Overview of the status quo and the individual needs of your organization in regard to data governance
- Documented, evaluated (in terms of content) and prioritized list of central tasks for subsequent concept & implementation
- First (monetarily) evaluated pilot project plan based on PRODYNA Governance Framework and the initial preconditions of your organization
Benefits
- Common understanding of the status quo and the associated goals of all project stakeholders
- Objective assessment of the situation in the relevant fields of action of data governance
- Specific, prioritized recommendation for key focus areas
- Involvement of a broad cross-section of employees as the first step in a change management process towards a modern data culture
Contact us
for more information.
David Wainwright
